Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

The study on Design and Algorithm of Robot Control System

Authors
Yao Jin
Corresponding Author
Yao Jin
Available Online July 2015.
DOI
10.2991/icismme-15.2015.159How to use a DOI?
Keywords
Self-balancing robot; Data Fusion; Adaptive Fuzzy Control.
Abstract

The self-balancing robot sensor characteristics, proposed indirect Kalman filter algorithm based on a gyroscope and accelerometer data fusion, optimal inclination and angular velocity estimates. The steering system is decoupled into two subsystems forward. For forward subsystem has strong nonlinear, demonstrated the feasibility of the application of nonlinear systems based on approximate linearization, exact linearization and intelligent control of the control strategy.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.159How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yao Jin
PY  - 2015/07
DA  - 2015/07
TI  - The study on Design and Algorithm of Robot Control System
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 763
EP  - 766
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.159
DO  - 10.2991/icismme-15.2015.159
ID  - Jin2015/07
ER  -